Alternatives and similar repositories for dysts

Users that are interested in dysts are comparing it to the libraries listed below

• probml / dynamax
  A Python package for probabilistic state space modeling with JAX
  ☆838Updated 2 months ago
• kpchamp / SindyAutoencoders
  ☆360Updated 3 years ago
• abao1999 / panda
  Patched Attention for Nonlinear Dynamics
  ☆150Updated 2 weeks ago
• JaxGaussianProcesses / GPJax
  Gaussian processes in JAX and Flax.
  ☆521Updated 3 weeks ago
• josephbakarji / deep-delay-autoencoder
  Discovers high dimensional models from 1D data using deep delay autoencoders
  ☆34Updated 2 years ago
• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆362Updated 3 months ago
• bayesflow-org / bayesflow
  A Python library for amortized Bayesian workflows using generative neural networks.
  ☆577Updated last week
• philipphennig / NumericsOfML
  Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
  ☆210Updated last year
• probml / sts-jax
  Structural Time Series in JAX
  ☆193Updated last year
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆452Updated last week
• wilson-labs / cola
  Compositional Linear Algebra
  ☆478Updated last month
• sbi-dev / sbi
  sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you nee…
  ☆709Updated this week
• sdascoli / odeformer
  ☆64Updated 11 months ago
• jacobjinkelly / easy-neural-ode
  Code for the paper "Learning Differential Equations that are Easy to Solve"
  ☆281Updated 3 years ago
• esa / torchquad
  Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX
  ☆205Updated 7 months ago
• patrick-kidger / torchcde
  Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
  ☆440Updated last year
• patrick-kidger / optimistix
  Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
  ☆437Updated last month
• BoyuanChen / neural-state-variables
  ☆175Updated 2 years ago
• Atcold / Energy-Book
  Deep Learning, an Energy Approach
  ☆187Updated last month
• SJ001 / AI-Feynman
  ☆693Updated last year
• MilesCranmer / lagrangian_nns
  Lagrangian Neural Networks
  ☆504Updated last year
• patrick-kidger / sympy2jax
  Turn SymPy expressions into trainable JAX expressions.
  ☆343Updated 2 months ago
• MilesCranmer / symbolic_deep_learning
  Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"
  ☆757Updated last year
• greydanus / hamiltonian-nn
  Code for our paper "Hamiltonian Neural Networks"
  ☆475Updated 4 years ago
• dfm / tinygp
  The tiniest of Gaussian Process libraries
  ☆313Updated last week
• patrick-kidger / diffrax
  Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
  ☆1,693Updated 3 weeks ago
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆451Updated 10 months ago
• patrick-kidger / lineax
  Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
  ☆457Updated 2 weeks ago
• quantinfo / ng-rc-paper-code
  Code for the paper "Next Generation Reservoir Computing"
  ☆178Updated 3 years ago
• patrick-kidger / NeuralCDE
  Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
  ☆659Updated 2 years ago